I am trying to set a maximum value for the y axis in my graph. On matplotlib.org I am reading about how the axis can be set with:
plt.axis([0, 6, 0, 20])
[xmin, xmax, ymin, ymax]
But my script is using time series data in the X axis.. Would I need to account for unix time min & maximum?
This is the code I am using, and I am just trying to limit the Y axis from 0 to 100, but keep the time stamp X axis the same... Also see below for plt for what I am trying to explain, thank you
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
df = pd.read_csv('C:\\Trend Data\\Econ py\\data CSV.csv', index_col='Date', parse_dates=True)
#print(df)
OAT = pd.Series(df[df.columns[0]])
RAT = pd.Series(df[df.columns[1]])
MAT = pd.Series(df[df.columns[2]])
df_math = pd.DataFrame({'mat' : MAT,
'rat' : RAT,
'oat' : OAT})
df_math['OSAcalc'] = ((df_math['mat'] - df_math['rat']) / (df_math['oat'] - df_math['rat']))*100
plt.plot(df_math['OSAcalc'])
plt.title("Percent Fresh Air")
#plt.axis([0, 100, 0, 100])
plt.show()
#df_math.boxplot(['mat', 'rat', 'oat'])
#plt.show()
