BexTuychiev

films_plus_directors = films.merge(directors, on='director_id', how='inner').drop_duplicates()

BexTuychiev

# Loading necessary libraries
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt

# Plotting pretty figures and avoid blurry images
%config InlineBackend.figure_format = 'retina'  
# No need to include %matplotlib inline magic command. These things come built-in now.

# Ignore warnings

BexTuychiev

# Load some sample data
medals = pd.read_csv('data/medals_by_country_2016.csv', index_col=[0])
climate_change = pd.read_csv('data/climate_change.csv', parse_dates=['date'])

BexTuychiev

# Basic exploration
medals.info()
climate_change.info()
<class 'pandas.core.frame.DataFrame'>
Index: 10 entries, United States to Japan
Data columns (total 3 columns):
 #   Column  Non-Null Count  Dtype
---  ------  --------------  -----
 0   Bronze  10 non-null     int64
 1   Gold    10 non-null     int64

BexTuychiev

# Basic exploration
medals.info()
climate_change.info()

___________________
<class 'pandas.core.frame.DataFrame'>
Index: 10 entries, United States to Japan
Data columns (total 3 columns):
 #   Column  Non-Null Count  Dtype
---  ------  --------------  -----

BexTuychiev

# Create an arbitrary tuple
numbers = (10, 11, 12)
# Assign each of its values to a single variable
ten, eleven, twelve = numbers

BexTuychiev

# Two variables because function returns tuple of size 2
fig, ax = plt.subplots()

BexTuychiev

plt.bar(medals.index, medals['Gold'])
plt.xticks(rotation=90)
plt.ylabel('# of gold medals');

BexTuychiev

plt.bar(medals.index, medals['Gold'])
plt.xticks(rotation=90)
plt.ylabel('# of gold medals')
plt.plot(climate_change['date'], climate_change['co2']);
_______________
TypeError: tzinfo argument must be 
None or of a tzinfo subclass, not type 'UnitData'

BexTuychiev

fig, ax = plt.subplots()
ax.plot(climate_change['date'], climate_change['co2'])
ax.set(title='Amount of CO2 (ppm) in each year', xlabel='Year', 
       ylabel='Amount of CO2 (ppm)');