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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)
import numpy as np
import matplotlib.pyplot as plt
import matplotlib as mpl
#Data to plot
x=np.linspace(1,12,12)
y=[341,657,424,363,123,544,176,566,737,861,651,719]
palette={"primary":"#FEF702",
"background": "#252525",
import seaborn as sns
#Dataset
tips = sns.load_dataset("tips")
#Plot----------------
#Canvas
fig,ax = plt.subplots(1,1,figsize=(13,7.5),dpi=100)
#Chart
import seaborn as sns
#Dataset
tips = sns.load_dataset("tips")
#Plot----------------
#Canvas
fig,ax = plt.subplots(1,1,figsize=(13,7.5),dpi=100)
#Chart
import pandas as pd
#Dataset
cats=["cats","dogs","hamster"]
votes=[134,125,77]
df = pd.DataFrame({'categories':cats,
  'votes': votes})
#Plot----------------------------------
#Canvas
#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)
#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)
#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"]
#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)
#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)