Useful functions for MecSimCalc.com

These details have not been verified by PyPI

Project description

MecSimCalc File Utilities v0.2.0

This library is designed to provide a set of functions for handling and converting various types of data, such as base64 encoded data, Pandas DataFrames, and Pillow images.

General

input_to_file

[Source]

input_to_file(input_file, metadata = False)

Description:

Converts a base64 encoded string into a file object and metadata

Arguments:

Argument	Type	Description
`input_file`	str	Base64 encoded string, prefixed with metadata
`metadata`	bool (optional)	Flag to return metadata with the file. (Defaults to False)

Raises:

Exception	Description
`ValueError`	If the input string doesn't contain ';base64,' to separate metadata and file data.

Returns:

Return Type	Description	Condition
`io.BytesIO`	The decoded file data (The thing you get when you open a file in Python)	metadata is False
`(io.BytesIO, str)`	The decoded file data and its metadata	metadata is True

Example:

import io
import mecsimcalc as msc

def main(inputs):
    input_file = inputs['file']
    file, metadata = msc.input_to_file(input_file, metadata=True)
    return {"file_type": type(file).__name__, "metadata": metadata}

# Expected output:
# {"file_type": "_io.BytesIO", "metadata": "data:image/jpeg;base64,"}

metadata_to_filetype

[Source]

metadata_to_filetype(metadata):

Description:

Extracts the file type from the metadata

Arguments:

Argument	Type	Description
`metadata`	str	The metadata string in the form "Data:(MIME type);base64,"(returned from `input_to_file`)

Returns:

Return Type	Description
`str`	The file type (e.g. "jpeg")

Example:

import mecsimcalc as msc

def main(inputs):
    input_file = inputs['file']
    file, metadata = msc.input_to_file(input_file, metadata=True)
    download_file_type = msc.metadata_to_filetype(metadata)
    return {"file_type": download_file_type}

# Expected output:
# {"file_type": "jpeg"}

Text

string_to_file

[Source]

string_to_file(
    text
    filename= "myfile",
    download_text = "Download File",
)

Description:

Generates a downloadable text file containing the given text

Arguments:

Argument	Type	Description
`text`	str	Text to be downloaded
`filename`	str (optional)	Name of the download file. (Defaults to "myfile")
`download_text`	str (optional)	Text to be displayed as the download link. (Defaults to "Download File")

Raises:

Exception	Description
`TypeError`	If the input text is not a string.

Returns:

Return Type	Description
`str`	HTML download link

Example:

Python

import mecsimcalc as msc

def main(inputs):
    download_link = msc.string_to_file("Hello World!")
    return {"download": download_link}

# Expected output:
# {"download": "<a href='data:text/plain;base64,SGVsbG8gV29ybGQh' download='myfile.txt'>Download File</a>"}

Jinja2

# outputs.downloadLink is the html download link generated by the function
{{ outputs.download }}

Spreadsheets

file_to_dataframe

[Source]

file_to_dataframe(file_data):

Description:

Converts a base64 encoded file data into a pandas DataFrame

Arguments:

Argument	Type	Description
`file_data`	io.BytesIO	Decoded file data (e.g. from `input_to_file`)

Raises:

Exception	Description
`pd.errors.ParserError`	If the file data cannot be converted to a DataFrame (i.e. file is not an Excel or CSV file or is corrupted)

Returns:

Return Type	Description
`pd.DataFrame`	DataFrame created from file data

Example:

import mecsimcalc as msc

def main(inputs):
    input_file = inputs['file']
    decoded_file = msc.input_to_file(input_file)
    df = msc.file_to_dataframe(decoded_file)
    return {"dataframe": df.to_dict()}

# Expected output:
# {"dataframe": {
# "A": {0: "a", 1: "d"},
# "B": {0: "b", 1: "e"},
# "C": {0: "c", 1: "f"}}}

input_to_dataframe

[Source]

input_to_dataframe(file):

Description:

Converts a base64 encoded file data into a pandas DataFrame

Arguments:

Argument	Type	Description
`input_file`	str	Base64 encoded file data
`get_file_type`	bool	If True, the function also returns the file type (Defaults to False)

Returns:

Return Type	Description	Condition
`pd.DataFrame`	DataFrame created from file data	get_file_type is False
`(pd.DataFrame, str)`	Tuple containing the DataFrame and the file type	get_file_type is True

Example:

import mecsimcalc as msc

def main(inputs):
    input_file = inputs['file']
    df, file_type = msc.input_to_dataframe(input_file, get_file_type=True)
    return {"dataframe": df.to_dict(), "file_type": file_type}

# Expected output:
# {"dataframe": {
# "A": {0: "a", 1: "d"},
# "B": {0: "b", 1: "e"},
# "C": {0: "c", 1: "f"}}, "file_type": "csv"}

print_dataframe

[Source]

print_dataframe(
    df,
    download = False,
    download_text = "Download Table",
    download_file_name = "mytable",
    download_file_type = "csv",
):

Description:

Creates an HTML table and a download link for a given DataFrame

Arguments:

Argument	Type	Description
`df`	pd.DataFrame	DataFrame to be converted
`download`	bool (optional)	If True, function returns a download link (Defaults to False)
`download_text`	str (optional)	Text to be displayed as the download link (Defaults to "Download Table")
`download_file_name`	str (optional)	Name of file when downloaded (Defaults to "mytable")
`download_file_type`	str (optional)	File type of downloaded file (Defaults to "csv")

Returns:

Return Type	Description	Condition
`str`	HTML table	download is False
`Tuple[str, str]`	(HTML table, HTML download link)	download is True

Example:

Python Code:

import mecsimcalc as msc

def main(inputs):
    input_file = inputs['file']
    df = msc.input_to_dataframe(input_file)
    table, download = msc.print_dataframe(df, download=True, download_file_name="Table", download_text="Download My Table HERE!", download_file_type="xlsx")
    return {"table": table, "download": download}

# Expected output:
# {"table": "<table>...</table>",
# "download": "<a href='data:application/vnd.openxmlformats-officedocument.spreadsheetml.sheet;base64,...' download='Table.xlsx'>Download My Table HERE!</a>"}

Output using Jinja2 Template:

# outputs.table is the HTML table
Displaying Table
{{ outputs.table }}

# outputs.download is the download link
Downloading Table
{{ outputs.download }}

Tables

table_to_dataframe

[Source]

table_to_dataframe(column_headers, rows):

Description:

Create a DataFrame from given rows and column headers

Arguments:

Argument	Type	Description
`column_headers`	List[str]	List of column headers
`rows`	List[List[str]]	List of rows to be converted into a DataFrame. Each column is a list of strings

Returns:

Return Type	Description
`pd.DataFrame`	DataFrame created from headers and rows

Example:

import mecsimcalc as msc

def main(inputs):
    column_headers = ["A", "B", "C"]
    rows = [["a", "b", "c"], ["d", "e", "f"]]
    df = msc.table_to_dataframe(column_headers, rows)
    return {"dataframe": df.to_dict()}

# Expected output:
# {"dataframe": {
# "A": {0: "a", 1: "d"},
# "B": {0: "b", 1: "e"},
# "C": {0: "c", 1: "f"}}}

print_table

[Source]

print_table(column_headers, rows):

Description:

Creates an HTML table from given rows and column headers

Arguments:

Argument	Type	Description
`column_headers`	List[str]	List of column headers
`rows`	List[List[str]]	List of rows to be converted into a table. Each column is a list of strings
`index`	bool (optional)	Whether to use the first column as the DataFrame's index. (Defaults to True)

Returns:

Return Type	Description
`str`	HTML table created from rows and headers

Example:

Python Code:

column_headers = ["A", "B", "C"]
rows = [["a", "b", "c"], ["d", "e", "f"]]
table = print_table(column_headers, rows)
return {
        "table":table,
    }

Output using Jinja2 Template:

# outputs.table is the HTML table
Displaying Table
{{ outputs.table }}

Images

file_to_PIL

[Source]

file_to_PIL(file):

Description:

Transforms a file into a Pillow Image object

Arguments:

Argument	Type	Description
`file`	str	Decoded file data (returned from input_to_file)

Raises:

Exception Type	Description
`ValueError`	If the file does not contain image data

Returns:

Return Type	Description
`Image`	Pillow Image object

Example:

Python Code:

import mecsimcalc as msc

def main(inputs):
    input_file = inputs['file']
    decoded_file = msc.input_to_file(input_file)
    image = msc.file_to_PIL(decoded_file)
    return {"image": image}

# Expected output:
# {"image": <PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=...>}

Output using Jinja2 Template:

# outputs.image is the Pillow Image object
Displaying Image
{{ outputs.image }}

input_to_PIL

[Source]

input_to_PIL(input_file, get_file_type=False):

Description:

Converts a base64 encoded file data into a pillow image

Arguments:

Argument	Type	Description
`input_file`	str	Base64 encoded file data
`get_file_type`	bool	If True, the function also returns the file type (Defaults to False)

Returns:

Return Type	Description	Condition
`PIL.Image.Image`	Pillow Image object	get_file_type is False
`Tuple[PIL.Image.Image, str]`	(pillow image, metadata)	get_file_type is True

Example:

import mecsimcalc as msc

def main(inputs):
    input_file = inputs['file']
    image, file_type = msc.input_to_PIL(input_file, get_file_type=True)
    return {"image": image, "file_type": file_type}

# Expected output:
# {"image": <PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=...>, "file_type": "jpeg"}

print_image

[Source]

print_image(
    image,
    width = 200,
    height = 200,
    original_size = False,
    download = False,
    download_text = "Download Image",
    download_file_name= "myimg",
    download_file_type = "png",
):

Description:

Transforms a Pillow image into an HTML image, with an optional download link

Arguments:

Argument	Type	Description
`image`	PIL.Image.Image	Pillow image
`width`	int (optional)	Output width of the image in pixels (Defaults to 200)
`height`	int (optional)	Output height of the image in pixels (Defaults to 200)
`original_size`	bool (optional)	If True, the HTML image will be displayed in its original size (Defaults to False)
`download`	bool (optional)	If True, function returns a download link (Defaults to False)
`download_text`	str (optional)	The text to be displayed on the download link (Defaults to "Download Image")
`download_file_name`	str (optional)	The name of the image file when downloaded (Defaults to "myimg")
`download_file_type`	str (optional)	The file type of the image when downloaded (Defaults to "png")

Returns:

Return Type	Description	Condition
`str`	HTML image	download is False
`Tuple[str, str]`	(HTML image, download link)	download is True

Example:

Python Code:

import mecsimcalc as msc

def main(inputs):
    input_file = inputs['file']
    image, metadata = msc.input_to_PIL(input_file)
    html_image, download = msc.print_image(image, original_size=True, download=True, download_text="Download Image Here", download_file_name="myimage", download_file_type="jpeg")
    return {"image": html_image, "download": download}

# Expected output:
# {"image": "<img src='data:image/jpeg;base64,...' width='...' height='...'>",
# "download": "<a href='data:image/jpeg;base64,...' download='myimage.jpeg'>Download Image Here</a>"}

Output using Jinja2 Template:

# outputs.image is the HTML image
Displaying Image
{{ outputs.image }}

# outputs.download is the download link
Downloading Image
{{ outputs.download }}

Plots

print_plot

[Source]

print_plot(
    plot_obj,
    width = 500,
    dpi= 100,
    download= False,
    download_text = "Download Plot",
    download_file_name = "myplot",
)

Description:

Converts a matplotlib.pyplot.axis or matplotlib.figure into an HTML image tag and optionally provides a download link for the image

Arguments:

Argument	Type	Description
`plot_obj`	axes or figure	Matplotlib figure
`width`	int (optional)	Output width of the image in pixels (Defaults to 500)
`dpi`	int (optional)	Output dpi of the image in pixels (Defaults to 100)
`download`	bool (optional)	If True, function returns a download link (Defaults to False)
`download_text`	str (optional)	The text to be displayed on the download link (Defaults to "Download Plot")
`download_file_name`	str (optional)	The name of the image file when downloaded (Defaults to "myplot")

Returns:

Return Type	Description	Condition
`str`	HTML image	download is False
`Tuple[str, str]`	(HTML image, HTML download link)	download is True

Example:

Python Code:

import matplotlib.pyplot as plt
import numpy as np
import mecsimcalc as msc

def main(inputs):
    x = np.linspace(0, 2 * np.pi, 400)
    y = np.sin(x)
    fig, ax = plt.subplots()
    ax.plot(x, y)
    ax.set_title('A single plot')
    image, download = msc.print_plot(fig, width=500, dpi=100, download=True, download_text="Download Sin Function Plot", download_file_name="sin(x)")
    return {"image": image, "download": download}

# Expected output:
# {"image": "<img src='data:image/jpeg;base64,...' width='500' height='...'>",
#  "download": "<a href='data:image/jpeg;base64,...' download='sin(x).jpeg'>Download Sin Function Plot</a>"}

Output using Jinja2 Template:

# outputs.image is the HTML image
Displaying Image
{{ outputs.image }}

# outputs.download is the download link
Downloading Image
{{ outputs.download }}

print_animation

[Source]

print_animation(
    ani,
    fps = 30,
    save_dir = "/tmp/temp_animation.gif"):

Description:

Converts a matplotlib animation into an animated GIF. Returns an HTML image tag to display it in your app.

Arguments:

Argument	Type	Description
`ani`	FuncAnimation	The matplotlib animation to be converted.
`fps`	int (optional)	Frames per second for the animation. (Defaults to 30)
`save_dir`	str (optional)	The directory to temporarily save files. You can only write to the tmp directory in mecsimcalc. Defaults to `"/tmp/temp_animation.gif"`

Returns:

Return Type	Description
`str`	The HTML image tag as a string.

Example:

import matplotlib.pyplot as plt
from matplotlib.animation import FuncAnimation
import numpy as np
import mecsimcalc as msc

def main(inputs):
    fig, ax = plt.subplots()
    x = np.linspace(0, 2*np.pi, 100)
    y = np.sin(x)
    line, = ax.plot(x, y)
    def update(frame):
        line.set_ydata(np.sin(x + frame / 10))
        return line,
    ani = FuncAnimation(fig, update, frames=100)
    animation = msc.print_animation(ani)
    return {"animation": animation}

# Expected output:
# {"animation": "<img src='data:image/gif;base64,...'>"}

animate_plot

[Source]

animate_plot(
    x,
    y,
    duration = 3,
    fps = 15,
    x_label = "x",
    y_label = "y",
    title = "y = f(x)",
    show_axes = True,
    follow_tip = False,
    save_dir = "/tmp/temp_animation.gif",
    follow_tip = False,
    hold_last_frame = 1.0,
)

Description:

Creates an animated plot from given x and y data and returns it as an HTML image tag.

Arguments:

Argument	Type	Description
`x`	np.ndarray	The x-coordinates of the data points.
`y`	np.ndarray	The y-coordinates of the data points.
`duration`	float (optional)	The duration of the animation in seconds. Defaults to `3`.
`fps`	float (optional)	Frames per second for the animation. Defaults to `15`.
`x_label`	str (optional)	The label for the x-axis. Defaults to `"x"`.
`y_label`	str (optional)	The label for the y-axis. Defaults to `"y"`.
`title`	str (optional)	Title of the plot. Defaults to `"y = f(x)"`.
`show_axes`	bool (optional)	Whether to show the x and y axes. Defaults to `True`.
`follow_tip`	bool (optional)	Whether to follow the tip of the line as it moves along the x-axis. Defaults to `False`.
`hold_last_frame`	float (optional)	The duration to hold the last frame in seconds. Defaults to `1.0`.
`save_dir`	str (optional)	The directory to temporarily save files. You can only write to the tmp directory in mecsimcalc. Defaults to `"/tmp/temp_animation.gif"`

Returns:

Return Type	Description
`str`	The HTML image tag containing the animated plot.

Example:

import numpy as np
import mecsimcalc as msc

def main(inputs):
    x = np.linspace(0, 10, 100)
    y = np.sin(x)
    animation_html = msc.animate_plot(x, y, duration=4, title="Sine Wave", show_axes=True)
    return {"animation": animation_html}

# Expected output:
# {"animation": "<img src='data:image/gif;base64,...'>"}

plot_slider

[Source]

plot_slider(
    f_x,
    x_range,
    y_range = None,
    title = "",
    x_label = "x",
    y_label = "y",
    num_points = 250,
    initial_value = 1,
    step_size = 0.1,
    slider_range = (-10, 10),
):

Description:

Creates an interactive plot with a slider using Plotly, allowing the user to dynamically update the plot based on a parameter.

Arguments:

Argument	Type	Description
`f_x`	Callable[[float, np.ndarray], np.ndarray]	A function that takes a float and an array of x-values, and returns an array of y-values.
`x_range`	Tuple[float, float]	A tuple defining the range of x-values (start, end) for the plot.
`y_range`	Tuple[float, float] (optional)	A tuple defining the range of y-values (start, end) for the plot. Defaults to `None`.
`title`	str (optional)	Title of the plot. Defaults to `""`.
`x_label`	str (optional)	Label for the x-axis. Defaults to `"x"`.
`y_label`	str (optional)	Label for the y-axis. Defaults to `"y"`.
`num_points`	int (optional)	Number of points to plot (line resolution). Defaults to `250`.
`initial_value`	float (optional)	Initial value of the slider. Defaults to `1`.
`step_size`	float (optional)	Step size for the slider. Defaults to `0.1`.
`slider_range`	Tuple[float, float] (optional)	Range for the slider values (start, end). Defaults to `(-10, 10)`.

Returns:

Return Type	Description
`str`	The HTML string containing the Plotly interactive plot.

Example:

import mecsimcalc as msc

def parabola(a, x):
    return a * x ** 2

def main(inputs):
    plot_html = msc.plot_slider(parabola, x_range=(-10, 10), y_range=(-100, 100))
    return {"plot": plot_html}

# Expected output:
# The `plot_html` can be used in a web page to display the interactive plot.

Quiz Toolkit

append_to_google_sheet

[Source]

append_to_google_sheet(
    service_account_info = {...},
    spreadsheet_id = "123abc...",
    values = [["name", 12837, ...]],
    range_name = "Sheet1!A1",
    include_timestamp = True
)

Description:

This function appends given values to a specified Google Sheet and optionally includes a current timestamp with each entry. It transforms data into a Google Sheets document, facilitating dynamic data entry directly from your application.

Arguments:

Argument	Type	Description
`service_account_info`	dict	The service account credentials used for Google Sheets API authentication.
`spreadsheet_id`	str	The unique identifier of the target Google Spreadsheet.
`values`	list of lists	The data to append. Each list element represents a row of data.
`range_name`	str (optional)	The A1 notation of the range to start appending data. Defaults to `"Sheet1!A1"`.
`include_timestamp`	bool (optional)	If True, appends the current timestamp to each row of data. Defaults to `True`.

Returns:

Return Type	Description
`dict`	The response from the Google Sheets API, containing details of the append operation.

Example:

Code step:

import mecsimcalc as msc

def main(inputs):
    service_account_info = {
        # Your service account info here
    }
    spreadsheet_id = 'your_spreadsheet_id_here'
    values = [
        [inputs['input_1'], inputs['input_2'], inputs['input_3']],
    ]
    result = msc.append_to_google_sheet(service_account_info, spreadsheet_id, values)
    return {"result": result}

# Expected output:
# {"result": {"spreadsheetId": "your_spreadsheet_id_here",
#  "updatedRange": "Sheet1!A1:C1",
#  "updatedRows": 1, "updatedColumns": 3, "updatedCells": 3}}

send_gmail

[Source]

send_gmail(
    sender_email='sender@example.com',
    receiver_email='receiver@example.com',
    subject="Quiz",
    app_password = "xxxx xxxx xxxx xxxx",
    values = [
    ["name", "grade"]
    ]
)

Description:

This function sends an email with specified values formatted in the message body, utilizing a service account for authentication.

Arguments:

Argument	Type	Description
`sender_email`	str	The email address of the sender.
`receiver_email`	str	The email address of the receiver.
`subject`	str	The subject line of the email.
`app_password`	str	The app-specific password for the sender's email account.
`values`	list	A list of lists. Each list contains data to be included in the email body.

Returns:

Return Type	Description
`bool`	Returns True if the email was sent successfully, otherwise False.

Example Usage:

import mecsimcalc as msc

def main(inputs):
    sender_email = 'sender@example.com'
    receiver_email = 'receiver@example.com'
    subject = 'Test Email'
    app_password = 'your_app_password_here'

    name = inputs['name']
    grade = inputs['grade']

    values = [
        [name, grade]
    ]

    result = msc.send_gmail(sender_email, receiver_email, subject, app_password, values)
    return {"result": result}

# Expected output:
# {"result": True}

Project details

These details have not been verified by PyPI

Release history Release notifications | RSS feed

0.2.1

Aug 15, 2024

This version

0.2.0

Aug 14, 2024

0.1.9

Jul 12, 2024

0.1.8

Jul 10, 2024

0.1.6

Feb 11, 2024

0.1.5

Aug 23, 2023

0.1.4

Jul 4, 2023

0.1.3

Jun 1, 2023

0.1.2

May 31, 2023

0.1.1 yanked

May 31, 2023

Reason this release was yanked:

does not work

0.1.0 yanked

May 31, 2023

Reason this release was yanked:

does not work

0.0.5

May 18, 2023

0.0.4

May 12, 2023

0.0.3

May 9, 2023

0.0.2

May 6, 2023

0.0.1

May 6, 2023

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

mecsimcalc-0.2.0.tar.gz (36.2 kB view hashes)

Uploaded Aug 14, 2024 Source

Built Distribution

mecsimcalc-0.2.0-py3-none-any.whl (28.2 kB view hashes)

Uploaded Aug 14, 2024 Python 3

Hashes for mecsimcalc-0.2.0.tar.gz

Hashes for mecsimcalc-0.2.0.tar.gz
Algorithm	Hash digest
SHA256	`1cbcbf47ca4118a33587a40c57706f406688ef684d8f50a5d1bf8d45721b338c`
MD5	`09e6d8342d5c64159a22778316ecfb11`
BLAKE2b-256	`2cc4780debf80ed8d2b4c7ccae762d3037ba95cfdf1663677cecbb5bc3f6c042`

Hashes for mecsimcalc-0.2.0-py3-none-any.whl

Hashes for mecsimcalc-0.2.0-py3-none-any.whl
Algorithm	Hash digest
SHA256	`fc50faecfc64e5694162eb4b32be85ac64c0dacbe6d15b3949e8adc52872218b`
MD5	`44b08adf2cebf5efcc1bfe83adb55262`
BLAKE2b-256	`95edd8b30f60dcd630ac88f13fea87bfc1ea5cbf29059ef0f693ac2128298dfd`

mecsimcalc 0.2.0

Navigation

Verified details

Maintainers

Unverified details

Meta

Classifiers

Project description

MecSimCalc File Utilities v0.2.0

General

input_to_file

Description:

Arguments:

Raises:

Returns:

Example:

metadata_to_filetype

Description:

Arguments:

Returns:

Example:

Text

string_to_file

Description:

Arguments:

Raises:

Returns:

Example:

Python

Jinja2

Spreadsheets

file_to_dataframe

Description:

Arguments:

Raises:

Returns:

Example:

input_to_dataframe

Description:

Arguments:

Returns:

Example:

print_dataframe

Description:

Arguments:

Returns:

Example:

Python Code:

Output using Jinja2 Template:

Tables

table_to_dataframe

Description:

Arguments:

Returns:

Example:

print_table

Description:

Arguments:

Returns:

Example:

Python Code:

Output using Jinja2 Template:

Images

file_to_PIL

Description:

Arguments:

Raises:

Returns:

Example:

Python Code:

Output using Jinja2 Template:

input_to_PIL

Description:

Arguments:

Returns:

Example:

print_image

Description:

Arguments:

Returns: