摘要： Visualize Geographic Data: To deal with mutiple DataFrame 1. How to install a library into the Anaconda: In Jupyter Notebook, under tag Conda, we can 阅读全文

摘要： To genereate a bar chart with matplotlib: ////////////////////////////////Import libraries and classes//////////////////////////////////////////////// 阅读全文

摘要： So far, I have learn some types of plotting methods: Matplotlib's high-level plotting methods - e.g. .scatter(), .plot() Seaborn's high-level plotting 阅读全文

摘要： Data Cleaning and visualization: 1.Before cleaning a set of data, we need to inspect the data by using shape(),head(),dtype(),decribe() function. 2.Fi 阅读全文

摘要： 1.Histogram : A histogram is a graph that enables you to visualize the distribution of values of a column. Example: import matplotlib.pyplot as plt co 阅读全文

摘要： 1.Independent variables : each variable is saperate from others in the dataset. 2.Data scatter: weight = [600,150,200,300,200,100,125,180] height = [6 阅读全文

摘要： 1. When ever we would like to assign an array into a Series, we need to use [[]] instead [] 2. double_df = float_df.apply(lambda x: x*2)# use apply() 阅读全文

摘要： 1. For searching certain row in certain column. We use name["column_name"][row_index] to locate the certain data in the DataFrame. 2. Pivot_table: Piv 阅读全文

摘要： 1. pandas.read_csv() to read the .csv file. After read, it is automatically converted to DataFrame format 2.The DataFrame is the frame for Pandas. It 阅读全文

摘要： 1. NumPy: NumPy is a Python module that is used to create and manipulate multidimensional arrays. 2. genfromtxt() : Function of reading dataset in Num 阅读全文