jmquintana79

# Homepage: http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.plot.html

import pandas as pd
import matplotlib.pyplot as plt


# plot
DF.plot(x='year', y=['var1', 'var2'],kind="line",subplots=False,layout=(2,2)) 
# layout: distribution of multicharts.
# subplots: plot each line in different charts.

jmquintana79

""" Filter by condition """
# conditional operators for pandas:
# EQUAL: ==
# DIFFERENT TO: !=
# BIGGER THAN: >
# LOWER THAN: <
# BIGGER OR EQUAL TO: >=
# LOWER OR EQUEAL TO: <=
# AND: &
# OR: |

jmquintana79

# import modules and tools
import matplotlib.pyplot as plt
import matplotlib.dates as mdates

# SOURCE OF COLOURS: http://matplotlib.org/examples/color/named_colors.html
from matplotlib import colors as mcolors
lname_colors = mcolors.cnames.keys()

# create objects
fig, ax = plt.subplots()

jmquintana79

import numpy as np
import pandas as pd
# alternative faster: Pandas on Ray
import ray.dataframe as pd

## ONE NUMPY ARRAY TO PANDAS DATAFRAME

# data
ldata = [[1,2],[7,3]]
# list of list to numpy array

natelandau

#  ---------------------------------------------------------------------------
#
#  Description:  This file holds all my BASH configurations and aliases
#
#  Sections:
#  1.   Environment Configuration
#  2.   Make Terminal Better (remapping defaults and adding functionality)
#  3.   File and Folder Management
#  4.   Searching
#  5.   Process Management