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Hello, I am using the version "pandas==1.0.4" and in my code below has generated the following Warning:
MatplotlibDeprecationWarning: Passing the minor parameter of set_xticks() positionally is deprecated since Matplotlib 3.2; the parameter will become keyword-only two minor releases later.
Follows my code:
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
bd = {'DATA': pd.date_range(start='2019-01-01',end='2020-01-01',freq='D'),
'VALOR' :np.random.randint(1,100,size=(366))}
df2 = pd.DataFrame(bd)
df2['DATA'] = df2['DATA'].dt.strftime('%Y-%m-%d')
fig = plt.figure(figsize=(10,5))
ax = fig.add_axes([0,0,1,1])
ax.plot(df2['DATA'],df2['VALOR'])
ax.set_xticks(range(0,df2.shape[0],30))
ax.set_xticklabels(df2['DATA'].loc[::30],rotation=90)
ax2 = fig.add_axes([0.5,0.2,0.4,0.4])
ax2.plot(df2['DATA'],df2['VALOR'])
ax2.set_xticks(range(0,df2.shape[0]),110)
ax2.set_xticklabels(df2['DATA'].loc[::110],rotation=90)
plt.show()
Would anyone know the correct way to use it without receiving this Warning? Considering that in the next versions of the library will no longer work the way I have done.
Thank you!
A question: on the line
ax2.set_xticks(range(0,df2.shape[0]),110)
, the correct would not beax2.set_xticks(range(0,df2.shape[0],110))
(with the 110 inside the range)? For the second parameter of the set_xticks is a boolean value and not an integer– Gomiero
Hello, that was right, had put in the wrong place. Thank you very much.
– Core