diff options
| author | Prabhu Ramachandran | 2018-06-12 00:07:32 +0530 |
|---|---|---|
| committer | Prabhu Ramachandran | 2018-06-12 00:07:32 +0530 |
| commit | ced8ead489f44243cc8b39eff7bab057bb249ae0 (patch) | |
| tree | e4bb55aea00c27ce06899a1190b82579c0af6f1e /data_analysis | |
| parent | 12e10ca44dc9e977553d0b9b394d41158857dc72 (diff) | |
| download | python-workshops-ced8ead489f44243cc8b39eff7bab057bb249ae0.tar.gz python-workshops-ced8ead489f44243cc8b39eff7bab057bb249ae0.tar.bz2 python-workshops-ced8ead489f44243cc8b39eff7bab057bb249ae0.zip | |
Minor fixes to the simple numpy stats content.
Diffstat (limited to 'data_analysis')
| -rw-r--r-- | data_analysis/02_numpy_stats.ipyml | 33 |
1 files changed, 19 insertions, 14 deletions
diff --git a/data_analysis/02_numpy_stats.ipyml b/data_analysis/02_numpy_stats.ipyml index a412271..9a6d60a 100644 --- a/data_analysis/02_numpy_stats.ipyml +++ b/data_analysis/02_numpy_stats.ipyml @@ -7,7 +7,7 @@ cells: slideshow: slide_type: skip -- markdown: | +- markdown: | # Data Analysis: Simple Statistics with `numpy` ### Prabhu Ramachandran @@ -167,14 +167,15 @@ cells: - code: | np.nanstd(data) -- markdown: | - - Do `np.nan<TAB>` to see more +- code: | + # Try `np.nan<TAB>` + np.nan - markdown: | ## Pseudo Random Numbers - - `np.random.random` etc. + - `np.random.*` metadata: slideshow: @@ -230,7 +231,7 @@ cells: - code: | from matplotlib import pyplot as plt - plt.hist(data) + plt.hist(data); - code: | @@ -241,10 +242,10 @@ cells: slide_type: slide - code: | - plt.hist(data) + plt.hist(data); - code: | - plt.hist(data, bins=6) + plt.hist(data, bins=6); - code: | @@ -255,10 +256,10 @@ cells: slide_type: slide - code: | - plt.hist(data, normed=True) + plt.hist(data, normed=True); - code: | - plt.hist(data, cumulative=True) + plt.hist(data, cumulative=True); metadata: slideshow: @@ -269,7 +270,7 @@ cells: ax1 = plt.subplot(1, 2, 1) ax1.hist(data, normed=True) ax2 = plt.subplot(1, 2, 2) - ax2.hist(data, cumulative=True) + ax2.hist(data, cumulative=True); metadata: slideshow: @@ -295,16 +296,20 @@ cells: slideshow: slide_type: slide +- markdown: | + ## $\chi^2$ distributions + + metadata: + slideshow: + slide_type: slide + - code: | data = np.random.chisquare(7, size=10000) ax1 = plt.subplot(1, 2, 1) ax1.hist(data, normed=True) ax2 = plt.subplot(1, 2, 2) - ax2.hist(data, cumulative=True) + ax2.hist(data, cumulative=True); - metadata: - slideshow: - slide_type: slide - markdown: | |