Category: Python Answers

Sometimes, we want to play a wav file in Python.

In this article, we’ll look at how to play a wav file in Python.

How to play a wav file in Python?

To play a wav file in Python, we can use the playsound library.

To install it, we run

pip install playsound

Then we use it by writing

from playsound import playsound

playsound('/path/to/a/sound/file/you/want/to/play.wav')

to call playsound with the path of the wav file to play it.

Conclusion

To play a wav file in Python, we can use the playsound library.

Sometimes, we want to create functions in a loop with Python.

In this article, we’ll look at how to create functions in a loop with Python.

How to create functions in a loop with Python?

To create functions in a loop with Python, we can create a function that returns a function and call it.

For instance, we write

def make_f(i):
    def f():
        return i
    return f

to define the make_f function that we can call in a loop to return a function.

Then we can do whatever we want with the returned function.

Conclusion

To create functions in a loop with Python, we can create a function that returns a function and call it.

Sometimes, we want to update a plot in Python matplotlib.

In this article, we’ll look at how to update a plot in Python matplotlib.

How to update a plot in Python matplotlib?

To update a plot in Python matplotlib, we can call draw to draw the plot.

For instance, we write

import matplotlib.pyplot as plt
import numpy as np

x = np.linspace(0, 6*np.pi, 100)
y = np.sin(x)

plt.ion()

fig = plt.figure()
ax = fig.add_subplot(111)
line1, = ax.plot(x, y, 'r-') 

for phase in np.linspace(0, 10*np.pi, 500):
    line1.set_ydata(np.sin(x + phase))
    fig.canvas.draw()
    fig.canvas.flush_events()

to create the subplot with add_subplot.

Then we call plot with the x and y values we created with linspace and the sine sin function called with x.

Then in the for loop, we call draw to draw the plot with the latest data.

Conclusion

To update a plot in Python matplotlib, we can call draw to draw the plot.

Sometimes, we want to convert Python dict into a dataframe with Pandas.

In this article, we’ll look at how to convert Python dict into a dataframe with Pandas.

How to convert Python dict into a dataframe with Pandas?

To convert Python dict into a dataframe with Pandas, we can use the pandas.DataFrame.from_dict method.

For instance, we write

df = pandas.DataFrame.from_dict(
    {
        u"2012-06-08": 388,
        u"2022-06-09": 388,
        u"2022-06-10": 388,
        u"2022-06-11": 389,
        u"2022-06-12": 389,
        # ...
        u"2022-07-05": 392,
        u"2022-07-06": 392,
    },
    orient="index",
    columns=["foo"],
)

to call pandas.DataFrame.from_dict with a dict.

Then we set the columns argument to foo to put the values in the foo column.

Conclusion

To convert Python dict into a dataframe with Pandas, we can use the pandas.DataFrame.from_dict method.

Sometimes, we want to disable Python warnings.

In this article, we’ll look at how to disable Python warnings.

How to disable Python warnings?

To disable Python warnings, we can call the warning.catch_warnings method.

For instance, we write

import warnings

def f():
    warnings.warn("deprecated", DeprecationWarning)

with warnings.catch_warnings():
    warnings.simplefilter("ignore")
    f()

to call warnings.catch_warnings to catch warnings.

In the f function, we raised a warning with warnings.warn.

In the with block, we call warnings.simplefilter with 'ignore' to temporarily ignore warnings in the block.

Conclusion

To disable Python warnings, we can call the warning.catch_warnings method.