import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
%matplotlib inline
austin_weather = pd.read_csv('../data/austin_weather.csv')
seattle_weather = pd.read_csv('../data/seattle_weather.csv')
austin_weather.head()
DATE STATION NAME MLY-CLDD-BASE45 MLY-CLDD-BASE50 MLY-CLDD-BASE55 MLY-CLDD-BASE57 MLY-CLDD-BASE60 MLY-CLDD-BASE70 MLY-CLDD-BASE72 ... MLY-TMIN-AVGNDS-LSTH070 MLY-TMIN-NORMAL MLY-TMIN-PRBOCC-LSTH016 MLY-TMIN-PRBOCC-LSTH020 MLY-TMIN-PRBOCC-LSTH024 MLY-TMIN-PRBOCC-LSTH028 MLY-TMIN-PRBOCC-LSTH032 MLY-TMIN-PRBOCC-LSTH036 MLY-TMIN-STDDEV MONTH
0 1 USW00013904 AUSTIN BERGSTROM INTERNATIONAL AIRPORT, TX US 190 103 50 35 18 1 -7777 ... 310 36.3 298 570 839 967 997 1000 2.9 Jan
1 2 USW00013904 AUSTIN BERGSTROM INTERNATIONAL AIRPORT, TX US 228 132 68 49 29 3 1 ... 280 39.4 103 327 614 867 973 999 3.2 Feb
2 3 USW00013904 AUSTIN BERGSTROM INTERNATIONAL AIRPORT, TX US 446 306 185 146 98 13 6 ... 308 46.6 10 73 242 494 761 928 3.6 Mar
3 4 USW00013904 AUSTIN BERGSTROM INTERNATIONAL AIRPORT, TX US 668 519 373 318 240 53 32 ... 287 54.7 0 0 0 48 189 453 4.1 Apr
4 5 USW00013904 AUSTIN BERGSTROM INTERNATIONAL AIRPORT, TX US 936 781 626 564 471 181 134 ... 250 63.7 0 0 0 0 0 0 2.5 May

5 rows × 68 columns

seattle_weather.head()
DATE STATION NAME MLY-CLDD-BASE45 MLY-CLDD-BASE50 MLY-CLDD-BASE55 MLY-CLDD-BASE57 MLY-CLDD-BASE60 MLY-CLDD-BASE70 MLY-CLDD-BASE72 ... MLY-TMIN-AVGNDS-LSTH070 MLY-TMIN-NORMAL MLY-TMIN-PRBOCC-LSTH016 MLY-TMIN-PRBOCC-LSTH020 MLY-TMIN-PRBOCC-LSTH024 MLY-TMIN-PRBOCC-LSTH028 MLY-TMIN-PRBOCC-LSTH032 MLY-TMIN-PRBOCC-LSTH036 MLY-TMIN-STDDEV MONTH
0 1 USW00094290 SEATTLE SAND PT WSFO, WA US 27.0 3.0 -7777.0 -7777.0 0.0 0.0 0.0 ... 310.0 37.0 64.0 129.0 317.0 709.0 959.0 1000.0 2.3 Jan
1 2 USW00094290 SEATTLE SAND PT WSFO, WA US 31.0 3.0 -7777.0 -7777.0 0.0 0.0 0.0 ... 280.0 36.9 15.0 76.0 273.0 616.0 917.0 1000.0 2.6 Feb
2 3 USW00094290 SEATTLE SAND PT WSFO, WA US 81.0 16.0 2.0 -7777.0 -7777.0 0.0 0.0 ... 310.0 39.3 0.0 20.0 41.0 152.0 670.0 986.0 1.8 Mar
3 4 USW00094290 SEATTLE SAND PT WSFO, WA US 169.0 58.0 12.0 6.0 1.0 0.0 0.0 ... 300.0 42.5 0.0 0.0 0.0 0.0 114.0 711.0 1.5 Apr
4 5 USW00094290 SEATTLE SAND PT WSFO, WA US 343.0 193.0 78.0 49.0 21.0 -7777.0 -7777.0 ... 310.0 47.8 0.0 0.0 0.0 0.0 0.0 58.0 1.9 May

5 rows × 81 columns

Weather Patterns in Seattle and Austin

plt.style.use('ggplot')
fig, ax = plt.subplots(figsize=(14,6))

# Plot MLY-PRCP-NORMAL from seattle_weather against the MONTH
ax.plot(seattle_weather["MONTH"], seattle_weather['MLY-PRCP-NORMAL'], c='blue', marker='o', linestyle='dashdot')

# Plot MLY-PRCP-NORMAL from austin_weather against MONTH
ax.plot(austin_weather['MONTH'], austin_weather['MLY-PRCP-NORMAL'], c='red', marker='v', linestyle='--')

ax.set_xlabel('Time (months)')
ax.set_ylabel('Precipitation (inches)')
ax.set_title('Weather patterns in Seattle and Austin')

plt.show()

Monthly Precipitation and Temperature in Seattle and Austin

fig,ax=plt.subplots(2,2, sharey=True, figsize=(15,4))
ax[0,0].plot(seattle_weather['MONTH'], seattle_weather['MLY-PRCP-NORMAL'])
ax[0,1].plot(seattle_weather['MONTH'], seattle_weather['MLY-TAVG-NORMAL'])
ax[1,0].plot(austin_weather['MONTH'], austin_weather['MLY-PRCP-NORMAL'])
ax[1,1].plot(austin_weather['MONTH'], austin_weather['MLY-TAVG-NORMAL'])
plt.show()

Precipitation data in Seattle and Austin

# Create a figure and an array of axes: 2 rows, 1 column with shared y axis
fig, ax = plt.subplots(2, 1, sharey=True)

# Plot Seattle precipitation data in the top axes
ax[0].plot(seattle_weather['MONTH'], seattle_weather['MLY-PRCP-NORMAL'], color = 'b')
ax[0].plot(seattle_weather['MONTH'], seattle_weather['MLY-PRCP-25PCTL'], color = 'b', linestyle = '--')
ax[0].plot(seattle_weather['MONTH'], seattle_weather['MLY-PRCP-75PCTL'], color = 'b', linestyle = '--')

# Plot Austin precipitation data in the bottom axes
ax[1].plot(austin_weather['MONTH'], austin_weather['MLY-PRCP-NORMAL'], color = 'r')
ax[1].plot(austin_weather['MONTH'], austin_weather['MLY-PRCP-25PCTL'], color = 'r', linestyle = '--')
ax[1].plot(austin_weather['MONTH'], austin_weather['MLY-PRCP-75PCTL'], color = 'r', linestyle = '--')

plt.show()

Adding error-bars

plt.style.use('seaborn')
fig, ax = plt.subplots(figsize=(14,6))
ax.errorbar(seattle_weather['MONTH'], seattle_weather['MLY-TAVG-NORMAL'],yerr=seattle_weather['MLY-TAVG-STDDEV'])
ax.errorbar(austin_weather['MONTH'], austin_weather['MLY-TAVG-NORMAL'],yerr=austin_weather['MLY-TAVG-STDDEV']) 
ax.set_ylabel('Temperature (Fahrenheit)')
plt.show()