16  Temas en Matplotlib

import pandas as pd
import matplotlib.pyplot as plt
from dateutil.parser import parse

# plt.style.use("grayscale")
# plt.style.use("seaborn-v0_8-talk")
plt.style.use("seaborn-v0_8-dark")
# plt.style.use("enerdata_square.mplstyle")

plt.style.available

['Solarize_Light2',
 '_classic_test_patch',
 '_mpl-gallery',
 '_mpl-gallery-nogrid',
 'bmh',
 'classic',
 'dark_background',
 'fast',
 'fivethirtyeight',
 'ggplot',
 'grayscale',
 'seaborn-v0_8',
 'seaborn-v0_8-bright',
 'seaborn-v0_8-colorblind',
 'seaborn-v0_8-dark',
 'seaborn-v0_8-dark-palette',
 'seaborn-v0_8-darkgrid',
 'seaborn-v0_8-deep',
 'seaborn-v0_8-muted',
 'seaborn-v0_8-notebook',
 'seaborn-v0_8-paper',
 'seaborn-v0_8-pastel',
 'seaborn-v0_8-poster',
 'seaborn-v0_8-talk',
 'seaborn-v0_8-ticks',
 'seaborn-v0_8-white',
 'seaborn-v0_8-whitegrid',
 'tableau-colorblind10']

f = '../data/Temixco_2018_10Min.csv'
tmx = pd.read_csv(f,index_col=0,parse_dates=True)
columnas = tmx.columns
columnas

Index(['Ib', 'Ig', 'To', 'RH', 'WS', 'WD', 'P'], dtype='object')

fig, ax = plt.subplots(2,figsize=(12,4),sharex=True)

fecha1 = parse("2018-03-10")
fecha2 = fecha1 + pd.Timedelta("7D")

for columna in columnas[:2]:
    ax[0].plot(tmx[columna],label=columna)

ax[1].plot(tmx.To,label="To")
    
for eje in ax:
    eje.set_xlim(fecha1,fecha2)
    eje.legend()
    eje.grid()

ax[0].set_ylim(0,1200)
ax[1].set_ylim(18,35)

fig, ax = plt.subplots()

fecha1 = parse("2018-03-10")
fecha2 = fecha1 + pd.Timedelta("1D")

for columna in columnas[:2]:
    ax.plot(tmx[columna],label=columna)

ax.set_xlim(fecha1,fecha2)

ax.set_ylim(0,1200)