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I would like to add monthly ticks to this plot - and it is currently showing ticks of 2015 and 2016 where i would like it to show Jan, Feb...Dec, Jan.
The index of the data that I have begins on 2015-01-01 and ends on 2015-12-31. The code I have so far is:
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import matplotlib.dates as mdate
plt.figure(figsize=(20,12))
#ax = plt.add_subplot(111)
plt.plot_date(list(max_group_by15.index), max_group_by15['Data_Value'])
plt.plot_date(list(min_group_by15.index), min_group_by15['Data_Value'])
plt.plot_date(list(min_group_by14.index), min_group_by14['Data_Value'], '-b')
plt.plot_date(list(max_group_by14.index), max_group_by14['Data_Value'], '-r')
plt.legend(['2015 Temp Exceed Prev High', '2015 Temp Below Prev Low', 'Min Temp 2005-2014', 'Max Temp 2005-2014'])
plt.gca().fill_between(min_group_by14.index, min_group_by14['Data_Value'], max_group_by14['Data_Value'], facecolor = 'blue', alpha =.25)
plt.xlabel('Month')
plt.ylabel('Degrees (Celsius)')
plt.title('Daily High and low temp in Ann Arbor area from 2005-2014')
locator = mdate.MonthLocator()
plt.gca().xaxis.set_major_locator(locator)
Produces this plot:
765
To remove the ticks on the y-axis, tick_params() method has an attribute named left and we can set its value to False and pass it as a parameter inside the tick_params() function. It removes the tick on the y-axis.
MatPlotLib with Python To rotate tick labels in a subplot, we can use set_xticklabels() or set_yticklabels() with rotation argument in the method. Create a list of numbers (x) that can be used to tick the axes. Get the axis using subplot() that helps to add a subplot to the current figure.
Tough to try without your exact data, but I think you're simply missing a call to set_major_formatter.
import datetime
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.dates as mdates
# Generate some random date-time data
numdays = 500
base = datetime.datetime.today()
date_list = [base - datetime.timedelta(days=x) for x in range(0, numdays)]
y = np.random.rand(numdays)
# Set the locator
locator = mdates.MonthLocator() # every month
# Specify the format - %b gives us Jan, Feb...
fmt = mdates.DateFormatter('%b')
plt.plot(date_list,y)
X = plt.gca().xaxis
X.set_major_locator(locator)
# Specify formatter
X.set_major_formatter(fmt)
plt.show()
65
If it's just one year, it could be done like that:)
months = ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec', 'Jan']
plt.xticks(np.linspace(0,365,13), months)
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