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import matplotlib.pyplot as plt | |
style_list = ['default', 'classic'] + | |
sorted(style for style in plt.style.available if style != 'classic') | |
plt.style.use(style_list[2]) |
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import matplotlib as mpl | |
#Remove all axis | |
mpl.rcParams["axes.spines.bottom"] = True | |
mpl.rcParams["axes.spines.left"] = False | |
mpl.rcParams["axes.spines.right"] = False | |
mpl.rcParams["axes.spines.top"] = False | |
#Grid format | |
mpl.rcParams["axes.grid"] = True |
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#Data to plot: | |
x=np.linspace(1,12,12) | |
y=[341,657,424,363,123,544,176,566,737,861,651,719] | |
#Canvas | |
fig,ax = plt.subplots(1,1,figsize=(13,7.5),dpi=100) | |
#Chart | |
ax.plot(x,y) |
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#Text elements--------------------------------------------- | |
#Title format | |
mpl.rcParams["figure.titlesize"] = 22 | |
mpl.rcParams["figure.titleweight"] = "regular" | |
#Subtitle format | |
mpl.rcParams["axes.titlesize"] = 18 | |
mpl.rcParams["axes.titlelocation"]="left" | |
mpl.rcParams['axes.titleweight'] = "regular" | |
mpl.rcParams['axes.titlecolor']= '#7F7F7F' |
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#Canvas | |
fig,ax = plt.subplots(1,1,figsize=(13,7.5),dpi=100) | |
#Chart | |
ax.plot(x,y) | |
#Attributes axesax.set_xlabel("Months") | |
ax.set_ylabel("Random variable") | |
ax.spines['bottom'].set_linestyle("--") | |
ax.spines['bottom'].set_linewidth(1) |
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#Canvas | |
fig,ax = plt.subplots(1,1,figsize=(13,7.5),dpi=100) | |
#Chart | |
ax.plot(x,y) | |
#Axttributes axes | |
ax.set_xlabel("Months", | |
ha="left", | |
size=16) |
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#Color for charts elements--------------------------------- | |
#Background color | |
mpl.rcParams["figure.facecolor"] = palette["background"] | |
mpl.rcParams["axes.facecolor"] = palette["background"] | |
mpl.rcParams["savefig.facecolor"] = palette["background"] | |
mpl.rcParams['axes.labelcolor']= palette["text_color"] |
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#Canvas | |
fig,ax = plt.subplots(1,1,figsize=(13,7.5),dpi=100) | |
#Chart | |
ax.plot(x,y) | |
#Attributes axes | |
ax.set_xlabel("Months", | |
ha="left", | |
size=16) |
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#Canvas | |
fig,ax = plt.subplots(1,1,figsize=(13,7.5),dpi=100) | |
#Chart | |
ax.plot(x,y,color=palette["primary_chart"], | |
zorder=2) | |
ax.scatter(x,y,color=palette["background"], | |
edgecolor=palette["primary"], | |
s=90, | |
zorder=3) |
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import pandas as pd | |
#Dataset | |
cats=["cats","dogs","hamster"] | |
votes=[134,125,77] | |
df = pd.DataFrame({'categories':cats, | |
'votes': votes}) | |
#Plot---------------------------------- | |
#Canvas |
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