month | temperature |
---|---|
Jan | 40.2 |
Feb | 41.9 |
Mar | 47.0 |
Apr | 50.1 |
May | 57.9 |
Jun | 62.5 |
Jul | 63.8 |
Aug | 61.9 |
Sep | 54.8 |
Oct | 47.4 |
Nov | 40.5 |
Dec | 42.8 |
-
-
Save joyadauche/a044c680338e0752fa12b71c6aedc480 to your computer and use it in GitHub Desktop.
The Data Viz Wiz: Introducing Matplotlib
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
import matplotlib.pyplot as plt | |
fig, ax = plt.subplots(); | |
plt.show() | |
# equivalents to above - different ways of creating an axes | |
# 1a - | |
# ax = plt.subplot() | |
# plt.show() | |
# 1b - | |
# fig = plt.figure() | |
# ax = fig.add_subplot() | |
# plt.show() | |
# 1c - | |
# fig = plt.figure() | |
# ax = fig.add_subplot(1, 1, 1) | |
# plt.show() | |
# 2a - | |
# ax = plt.subplots() | |
# plt.show() | |
# 2b - | |
# fig = plt.figure() | |
# ax = fig.subplots() | |
# plt.show() | |
# 2c - | |
# fig = plt.figure() | |
# ax = fig.subplots(1, 1) | |
# plt.show() | |
# 2d - | |
# fig = plt.figure() | |
# ax = fig.subplots(nrows=1, ncols=1) | |
# plt.show() | |
# 3a - | |
# ax = plt.axes() | |
# plt.show() | |
# 3b - | |
# ax = plt.axes([0.1, 0.1, 0.8, 0.8]) | |
# plt.show() | |
# 3c - | |
# fig = plt.figure() | |
# ax = fig.add_axes([0.1, 0.1, 0.8, 0.8]) | |
# plt.show() |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
import matplotlib.pyplot as plt | |
import pandas as pd | |
lagos_average_monthly_temperature_dict = { | |
'month':['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep','Oct', 'Nov', 'Dec'], | |
'temperature':[40.2, 41.9, 47.0, 50.1, 57.9, 62.5, 63.8, 61.9, 54.3, 47.4, 40.5, 42.8] | |
} | |
lagos_average_monthly_temperature = pd.DataFrame(lagos_average_monthly_temperature_dict) | |
fig, ax = plt.subplots(); | |
ax.plot(lagos_average_monthly_temperature['month'], lagos_average_monthly_temperature['temperature']) | |
plt.show() |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
import matplotlib.pyplot as plt | |
import pandas as pd | |
lagos_average_monthly_temperature_dict = { | |
'month':['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep','Oct', 'Nov', 'Dec'], | |
'temperature':[40.2, 41.9, 47.0, 50.1, 57.9, 62.5, 63.8, 61.9, 54.3, 47.4, 40.5, 42.8] | |
} | |
abuja_average_monthly_temperature_dict = { | |
'month':['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep','Oct', 'Nov', 'Dec'], | |
'temperature':[42.2, 43.9, 48.0, 52.1, 59.9, 64.5, 66.8, 63.9, 50.3, 49.4, 42.5, 44.8] | |
} | |
lagos_average_monthly_temperature = pd.DataFrame(lagos_average_monthly_temperature_dict) | |
abuja_average_monthly_temperature = pd.DataFrame(abuja_average_monthly_temperature_dict) | |
fig, ax = plt.subplots(); | |
ax.plot(lagos_average_monthly_temperature['month'], lagos_average_monthly_temperature['temperature']) | |
ax.plot(abuja_average_monthly_temperature['month'], abuja_average_monthly_temperature['temperature']) | |
plt.show() |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
import matplotlib.pyplot as plt | |
import pandas as pd | |
lagos_average_monthly_temperature_dict = { | |
'month':['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep','Oct', 'Nov', 'Dec'], | |
'temperature':[40.2, 41.9, 47.0, 50.1, 57.9, 62.5, 63.8, 61.9, 54.3, 47.4, 40.5, 42.8] | |
} | |
lagos_average_monthly_temperature = pd.DataFrame(lagos_average_monthly_temperature_dict) | |
fig, ax = plt.subplots(); | |
ax.plot(lagos_average_monthly_temperature['month'], lagos_average_monthly_temperature['temperature'], | |
marker="8", markersize=8, markerfacecolor="yellow", markeredgewidth=2, markeredgecolor="blue", | |
linestyle=":", linewidth=2, color="red") | |
ax.set_xlabel("Date (months)") | |
ax.set_ylabel("Average temperature (Fahrenheit degrees)") | |
ax.set_title("Temperature Trends in Lagos") | |
plt.show() |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
import matplotlib.pyplot as plt | |
import pandas as pd | |
lagos_average_monthly_temperature_dict = { | |
'month':['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep','Oct', 'Nov', 'Dec'], | |
'temperature':[40.2, 41.9, 47.0, 50.1, 57.9, 62.5, 63.8, 61.9, 54.3, 47.4, 40.5, 42.8] | |
} | |
abuja_average_monthly_temperature_dict = { | |
'month':['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep','Oct', 'Nov', 'Dec'], | |
'temperature':[42.2, 43.9, 48.0, 52.1, 59.9, 64.5, 66.8, 63.9, 50.3, 49.4, 42.5, 44.8] | |
} | |
lagos_average_monthly_temperature = pd.DataFrame(lagos_average_monthly_temperature_dict) | |
abuja_average_monthly_temperature = pd.DataFrame(abuja_average_monthly_temperature_dict) | |
fig, ax = plt.subplots(); | |
ax.plot(lagos_average_monthly_temperature['month'], lagos_average_monthly_temperature['temperature'], | |
marker="8", markersize=8, markerfacecolor="yellow", markeredgewidth=2, markeredgecolor="blue", | |
linestyle=":", color='red', label="Lagos") | |
ax.plot(abuja_average_monthly_temperature['month'], abuja_average_monthly_temperature['temperature'], | |
marker=".", markersize=8, markerfacecolor="yellow", markeredgewidth=2, markeredgecolor="blue", | |
color="darkgreen", label="Abuja") | |
ax.set_xlabel("Date (months)") | |
ax.set_ylabel("Average temperature (Fahrenheit degrees)") | |
ax.set_title("Temperature Patterns across Cities") | |
ax.legend() | |
plt.show() |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
import matplotlib.pyplot as plt | |
import pandas as pd | |
lagos_average_monthly_temperature_dict = { | |
'month': ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec'], | |
'temperature': [40.2, 41.9, 47.0, 50.1, 57.9, 62.5, 63.8, 61.9, 54.3, 47.4, 40.5, 42.8] | |
} | |
abuja_average_monthly_temperature_dict = { | |
'month': ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec'], | |
'temperature': [42.2, 43.9, 48.0, 52.1, 59.9, 64.5, 66.8, 63.9, 50.3, 49.4, 42.5, 44.8] | |
} | |
lagos_average_monthly_temperature = pd.DataFrame(lagos_average_monthly_temperature_dict) | |
abuja_average_monthly_temperature = pd.DataFrame(abuja_average_monthly_temperature_dict) | |
fig, ax = plt.subplots(2, 1, sharey=True) | |
ax[0].plot(lagos_average_monthly_temperature['month'], lagos_average_monthly_temperature['temperature']) | |
ax[1].plot(abuja_average_monthly_temperature['month'], abuja_average_monthly_temperature['temperature'], color="r") | |
ax[0].set_ylabel("Average temperature") | |
ax[1].set_ylabel("Average temperature") | |
ax[1].set_xlabel("Date (months)") | |
ax[0].set_title("Lagos average temperature (Fahrenheit degrees)") | |
ax[1].set_title("Abuja average temperature (Fahrenheit degrees)") | |
plt.tight_layout() # same as fig.tight_layout() | |
plt.show() | |
# Examples where the ax object is an array of axes object | |
# 1a - | |
# fig = plt.figure() | |
# ax = fig.subplots(2, 2) | |
# ax[0, 0].plot() | |
# ax[0, 1].plot() | |
# ax[1, 0].plot() | |
# ax[1, 1].plot() | |
# plt.show() | |
# 1b - | |
# fig = plt.figure() | |
# ax = fig.subplots(2, 2) | |
# ax.flat[0].plot() | |
# ax.flat[1].plot() | |
# ax.flat[2].plot() | |
# ax.flat[3].plot() | |
# plt.show() | |
# 1c - | |
# fig = plt.figure() | |
# ((ax1, ax2), (ax3, ax4)) = fig.subplots(2, 2) | |
# ax1.plot() | |
# ax2.plot() | |
# ax3.plot() | |
# ax4.plot() | |
# plt.show() | |
# 2 - | |
# fig = plt.figure() | |
# ax1 = fig.add_subplot(221) | |
# ax2 = fig.add_subplot(222) | |
# ax3 = fig.add_subplot(223) | |
# ax4 = fig.add_subplot(224) | |
# plt.show() | |
# 3 - | |
# fig = plt.figure() | |
# ax1 = fig.add_axes([0.1, 0.6, 0.3, 0.3]) | |
# ax2 = fig.add_axes([0.6, 0.6, 0.3, 0.3]) | |
# ax3 = fig.add_axes([0.1, 0.1, 0.3, 0.3]) | |
# ax4 = fig.add_axes([0.6, 0.1, 0.3, 0.3]) | |
# plt.show() |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment