Steuern der Anzahl der x-Ticks in pyplot

Question

Ich möchte alle 13 x Ticks anzeigen, aber das Diagramm zeigt nur 7 von ihnen mit zwei Intervallen.

plt.locator_params(axis='x',nbins=13) 

Warum nicht über Code Arbeit ??

import numpy as np 
import matplotlib.pyplot as plt 
import pandas as pd 
import matplotlib.dates as dates 

y = [0, 0.86, 0.826, 0.816, 0.807, 0.803, 0.804, 0.803, 0.802,0.81, 0.813, 0.813, 0.813] 

times = pd.date_range('2015-02-25', periods=13) 
fig, ax = plt.subplots(1) 
fig.autofmt_xdate() 

xfmt = dates.DateFormatter('%d-%m-%y') 
ax.xaxis.set_major_formatter(xfmt) 

plt.locator_params(axis='x',nbins=13) 

ax.plot_date(times.to_pydatetime(), y, 'v-') 
ax.xaxis.set_minor_locator(dates.WeekdayLocator(byweekday=(1), 
              interval=1)) 
ax.xaxis.set_minor_formatter(dates.DateFormatter('%d\n%a')) 
ax.xaxis.grid(True, which="minor") 
ax.yaxis.grid() 
plt.tight_layout() 
plt.show() 

Answer 1

Die Warnung sollte man einen Hinweis geben, warum dies geschieht:

UserWarning: 'set_params()' not defined for locator of type <class 'pandas.tseries.converter.PandasAutoDateLocator'> 
    str(type(self))) 

Verwenden plt.xticks(times.to_pydatetime()) statt:

import numpy as np 
import matplotlib.pyplot as plt 
import pandas as pd 
import matplotlib.dates as dates 

y = [0, 0.86, 0.826, 0.816, 0.807, 0.803, 0.804, 0.803, 0.802,0.81, 0.813, 0.813, 0.813] 

times = pd.date_range('2015-02-25', periods=13) 
fig, ax = plt.subplots(1) 
fig.autofmt_xdate() 

xfmt = dates.DateFormatter('%d-%m-%y') 
ax.xaxis.set_major_formatter(xfmt) 


ax.plot_date(times.to_pydatetime(), y, 'v-') 
ax.xaxis.set_minor_locator(dates.WeekdayLocator(byweekday=(1), 
              interval=1)) 
plt.xticks(times.to_pydatetime()) 
ax.xaxis.set_minor_formatter(dates.DateFormatter('%d\n%a')) 
ax.xaxis.grid(True, which="minor") 
ax.yaxis.grid() 
plt.tight_layout() 
plt.show()