This feels like (and probably is) a really dumb question, but what do you call to close a dataframe plot that didn't explicitly call matplotlib?
for example, if you type:
df.hist(data)
Is there a way to close the plot (other than manually clicking on the window's x)?
I'm used to calling plt.close()
, but is there something similar in pandas? I've tried close & close(), and neither work.
Use DataFrame.reset_index() function reset_index() to reset the index of the updated DataFrame. By default, it adds the current row index as a new column called 'index' in DataFrame, and it will create a new row index as a range of numbers starting at 0.
In order to visualize data from a Pandas DataFrame , you must extract each Series and often concatenate them together into the right format. It would be nicer to have a plotting library that can intelligently use the DataFrame labels in a plot.
rot : This keyword argument allows to rotate the markings on the x axis for a horizontal plotting and y axis for a vertical plotting. fontsize : Allows to set the font size for the labels and axis points.
This will wait 5 seconds before closing the window:
import matplotlib.pyplot as plt
import pandas as pd
import time
ax = df.plot()
fig = ax.get_figure()
plt.show(block=False)
time.sleep(5)
plt.close(fig)
Alternatively:
fig, ax = plt.subplots()
df = pd.Series([1, 2, 3])
df.plot(ax=ax)
plt.show(block=False)
time.sleep(5)
plt.close(fig)
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