Python中級
Hugo Bowne-Anderson
Data Scientist at DataCamp
多くの選択肢
さまざまなグラフの種類
豊富なカスタマイズ
選択は以下によって決る
データ
伝えたいストーリー
population.py
import matplotlib.pyplot as plt year = [1950, 1951, 1952, ..., 2100] pop = [2.538, 2.57, 2.62, ..., 10.85] plt.plot(year, pop) plt.show()
import matplotlib.pyplot as plt year = [1950, 1951, 1952, ..., 2100] pop = [2.538, 2.57, 2.62, ..., 10.85] plt.plot(year, pop) plt.xlabel('Year') plt.ylabel('Population') plt.show()
import matplotlib.pyplot as plt year = [1950, 1951, 1952, ..., 2100] pop = [2.538, 2.57, 2.62, ..., 10.85] plt.plot(year, pop)
plt.xlabel('Year') plt.ylabel('Population')
plt.show()
import matplotlib.pyplot as plt year = [1950, 1951, 1952, ..., 2100] pop = [2.538, 2.57, 2.62, ..., 10.85] plt.plot(year, pop) plt.xlabel('Year') plt.ylabel('Population') plt.title('World Population Projections') plt.show()
plt.title('World Population Projections')
import matplotlib.pyplot as plt year = [1950, 1951, 1952, ..., 2100] pop = [2.538, 2.57, 2.62, ..., 10.85] plt.plot(year, pop) plt.xlabel('Year') plt.ylabel('Population') plt.title('World Population Projections') plt.yticks([0, 2, 4, 6, 8, 10]) plt.show()
plt.yticks([0, 2, 4, 6, 8, 10])
import matplotlib.pyplot as plt year = [1950, 1951, 1952, ..., 2100] pop = [2.538, 2.57, 2.62, ..., 10.85] plt.plot(year, pop) plt.xlabel('Year') plt.ylabel('Population') plt.title('World Population Projections') plt.yticks([0, 2, 4, 6, 8, 10], ['0', '2B', '4B', '6B', '8B', '10B']) plt.show()
plt.yticks([0, 2, 4, 6, 8, 10],
['0', '2B', '4B', '6B', '8B', '10B'])
import matplotlib.pyplot as plt year = [1950, 1951, 1952, ..., 2100] pop = [2.538, 2.57, 2.62, ..., 10.85] # Add more data year = [1800, 1850, 1900] + year pop = [1.0, 1.262, 1.650] + pop plt.plot(year, pop) plt.xlabel('Year') plt.ylabel('Population') plt.title('World Population Projections') plt.yticks([0, 2, 4, 6, 8, 10], ['0', '2B', '4B', '6B', '8B', '10B']) plt.show()
import matplotlib.pyplot as plt year = [1950, 1951, 1952, ..., 2100] pop = [2.538, 2.57, 2.62, ..., 10.85]
# Add more data year = [1800, 1850, 1900] + year pop = [1.0, 1.262, 1.650] + pop
plt.plot(year, pop)
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