Adding Minor Ticks To Pandas Plot
I have the following code: from pandas_datareader import data as web import matplotlib.pyplot as plt fig, (ax1, ax2) = plt.subplots(2, 1) df = web.DataReader('F', 'yahoo') df2 = w
Solution 1:
Check this code:
from pandas_datareader import data as web
import matplotlib.pyplot as plt
import matplotlib.dates as md
fig, (ax1, ax2) = plt.subplots(2, 1)
df = web.DataReader('F', 'yahoo')
df2 = web.DataReader('Fb', 'yahoo')
ax = df.plot(figsize=(35,15), ax=ax1)
df2.plot(y = 'Close', figsize=(35,15), ax=ax2)
for ax in (ax1, ax2):
ax.xaxis.set_major_locator(md.MonthLocator(bymonth = range(1, 13, 6)))
ax.xaxis.set_major_formatter(md.DateFormatter('%b\n%Y'))
ax.xaxis.set_minor_locator(md.MonthLocator())
plt.setp(ax.xaxis.get_majorticklabels(), rotation = 0 )
plt.show()
You can manage the xticks
with the ax.xaxis
methods. The above code produce this plot:
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