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BASIC PANDAS : A Guide to Data Manipulation
Preparation
Introduction (5:58)
Python Installation (6:35)
How to get course resource (1:03)
Part 1: Accessing row and column
01 Import library, CSV (7:38)
02 Overview (5:19)
03 Describe data and round number (3:14)
04 Accessing data with loc iloc (5:27)
05 Using loc vs iloc on sample dataframe (4:57)
06 Accessing column single and double (2:37)
07 Accessing column with loc and iloc (4:42)
08 Copy (3:42)
Part 2: Accessing data with conditions
09 Accessing data with one condition (4:22)
10 Using not na (2:24)
11 Accessing data with multiple condition (and) (3:11)
12 Using unique command (1:50)
13 Accessing data with multiple condition (or) (1:52)
14 Identifying data using isin (3:04)
15 Quiz1 (0:43)
16 Quiz1's solution (3:44)
17 Identifying data using all and any (2:18)
18 Looking for data with nlargest and nsmallest (3:40)
19 Identifying data within a range using between (1:41)
20 Counting using values count (3:23)
21 Easy value sorting (3:46)
22 Reseting index of a dataframe (2:39)
Part 3: Working with missing data
23 Dealing NULL data with dropna (6:23)
24 Using dropna for columns (5:08)
25 Dropna using threshold value (4:01)
26 Dropna by subset (2:01)
27 Quiz 2 (0:41)
28 Quiz 2's solution (7:16)
29 Read and write csv (3:56)
30 Drop column (2:49)
31 Drop index (2:46)
32 Dealing with NULL using fillna (5:27)
Part 4: Working with time series data
33 Cumulative data by province (9:13)
34 Dealing with datetime (4:54)
35 Time series indexing (3:15)
36 Data prep for patient 1 (7:45)
37 Data prep for patient 2 (10:21)
Part 5: Group and multilevel columns
38 Covid-19, the completed dataset (2:31)
39 Indexing and accessing time series (4:04)
40 Identifying data using Group by (5:38)
41 Creating and using grouper (6:58)
42 Multi-level columns (8:22)
Part 6: Basic Visualization
43 Basic plot (4:57)
44 Ploting with legend xy and title area (9:30)
45 Visulizing with scatterplot (5:35)
46 Convert string to integer (3:11)
47 Visualizing with histogram (9:12)
48 Countplot with hue (4:17)
49 Histogram distplot and countplot (2:38)
50 Using value count in countplot (6:28)
51 Quiz 3 (0:34)
52 Quiz3's solution (4:29)
Part 7: Categorical and statistical plots
53 Stripplot (6:58)
54 Violin plot and boxenplot (8:23)
55 Pie chart (9:43)
56 Implot joinplot (11:10)
57 Heatmap (6:15)
23 Dealing NULL data with dropna
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