bump: 0.7.0

CHANGELOG.md

@@ -1,3 +1,7 @@
+### 0.7.0
+
+- SVG generation support
+- Keyword arguments supported in addition to dictionary
 
 ### 0.6.0
 

README.md

@@ -21,6 +21,8 @@ The package for clearer, shorter and cleaner PyGame codebases!
 
 Fun fact: Codementor.io [tweeted about Hooman](https://twitter.com/CodementorIO/status/1306295790441246725?s=20) tagged #LearnPython #100DaysOfCode
 
+NEW: save to svg now supported
+
 # hooman is powerful!
 
 See a snake game by [TheBigKahuna353](https://github.com/TheBigKahuna353)
@@ -165,6 +167,122 @@ For about the same number of lines for a simple snake game, you get one complete
 - [Display most frequent words using PyGame](https://www.pythonkitchen.com/display-most-frequent-words-python-pygame/)
 - [Realtime CPU monitor using PyGame](https://www.pythonkitchen.com/realtime-cpu-monitor-using-pygame/)
 
+# (new) save to svg
+
+```python
+# https://github.com/mwaskom/seaborn-data/blob/master/penguins.csv
+
+from hooman import Hooman
+import pandas as pd
+import os
+
+window_width, window_height = 650, 600
+hapi = Hooman(window_width, window_height, svg=True)
+
+
+base_path = os.path.dirname(os.path.abspath(__file__))
+df = pd.read_csv(os.path.join(base_path, "data", "penguins.csv"))
+df = df.fillna(0)
+
+data = {k:list(df[k]) for k in df.columns.values.tolist()}
+
+hapi.background(255)
+
+colx = "bill_length_mm"
+coly = "bill_depth_mm"
+
+hapi.scatterchart(
+        40,
+        30,
+        500,
+        500,
+        {
+        "data": data,
+            "ticks_y": 12,
+            "ticks_x": 12,
+            "range_y": [min(data[coly]), max(data[coly])],
+            "range_x": [min(data[colx]), max(data[colx])],
+            "show_axes": True,
+            "tick_size": 10,
+            "show_ticks_x": True,
+            "show_ticks_y": True,
+            "x": colx,
+            "y": coly,
+            "plot_background": False,
+            "plot_grid": False,
+            "line_color": 200,
+            "type": "hist",
+            "hist_color": "g"
+        },
+    )
+
+hapi.save_svg(os.path.join(base_path, 'file.svg'))
+```
+
+# (new) keyword argument same as dictionary
+
+
+```python
+hapi.scatterchart(
+        40,
+        30,
+        500,
+        500,
+        {
+        "data": data,
+            "ticks_x": 5,
+            "mouse_line": False,
+            "range_y": [min(data[coly]), max(data[coly])],
+            "range_x": [min(data[colx]), max(data[colx])],
+            "tick_size": 10,
+            "show_ticks_x": True,
+            "show_ticks_y": True,
+            "x": colx,
+            "y": coly,
+            "hue": "clarity",
+            "hue_order": clarity_ranking,
+            "size": "depth",
+            "plot_background": False,
+            "plot_background_grid": True,
+            "plot_background_color": (234,234,242),
+            "plot_background_grid_color": 200,
+            "line_color": 200
+        }
+    )
+
+# same as
+
+hapi.scatterchart(
+        40,
+        30,
+        500,
+        500,
+        {
+        "data": data,
+            "ticks_x": 5,
+            "mouse_line": False,
+            "range_y": [min(data[coly]), max(data[coly])],
+            "range_x": [min(data[colx]), max(data[colx])],
+            "tick_size": 10,
+            "show_ticks_x": True,
+            "show_ticks_y": True,
+            "hue": "clarity",
+            "hue_order": clarity_ranking,
+            "size": "depth",
+            "plot_background": False,
+            "plot_background_grid": True,
+            "plot_background_color": (234,234,242),
+            "plot_background_grid_color": 200,
+            "line_color": 200
+        },
+        x=colx,
+        y=coly
+    )
+
+# i.e you can mix both or use one option over the other
+
+```
+
 # demos
 
 ![](assets/color_change.gif)

hooman/__init__.py

@@ -1,5 +1,5 @@
 from .hooman import Hooman
 from .formula import *
 
-version_info = (0, 6, 0)
+version_info = (0, 7, 0)
 __version__ = ".".join([str(v) for v in version_info])

hooman/demos/scatter_chart.py

@@ -26,12 +26,10 @@
         500,
         {
         "data": data,
-            "ticks_y": 8,
             "ticks_x": 5,
             "mouse_line": False,
             "range_y": [min(data[coly]), max(data[coly])],
             "range_x": [min(data[colx]), max(data[colx])],
-            "show_axes": True,
             "tick_size": 10,
             "show_ticks_x": True,
             "show_ticks_y": True,
@@ -45,7 +43,7 @@
             "plot_background_color": (234,234,242),
             "plot_background_grid_color": 200,
             "line_color": 200
-        },
+        }
     )
 
 while hapi.is_running:

hooman/demos/test.py

@@ -1,18 +1,47 @@
-import seaborn as sns
-import matplotlib.pyplot as plt
-sns.set_theme(style="whitegrid")
-
-# Load the example diamonds dataset
-diamonds = sns.load_dataset("diamonds")
-
-# Draw a scatter plot while assigning point colors and sizes to different
-# variables in the dataset
-f, ax = plt.subplots(figsize=(6.5, 6.5))
-sns.despine(f, left=True, bottom=True)
-clarity_ranking = ["I1", "SI2", "SI1", "VS2", "VS1", "VVS2", "VVS1", "IF"]
-sns.scatterplot(x="carat", y="price",
-                hue="clarity", size="depth",
-                palette="ch:r=-.2,d=.3_r",
-                hue_order=clarity_ranking,
-                sizes=(1, 8), linewidth=0,
-                data=diamonds, ax=ax)
+# https://github.com/mwaskom/seaborn-data/blob/master/penguins.csv
+
+from hooman import Hooman
+import pandas as pd
+import os
+
+window_width, window_height = 650, 600
+hapi = Hooman(window_width, window_height, svg=True)
+
+
+base_path = os.path.dirname(os.path.abspath(__file__))
+df = pd.read_csv(os.path.join(base_path, "data", "penguins.csv"))
+df = df.fillna(0)
+
+data = {k:list(df[k]) for k in df.columns.values.tolist()}
+
+hapi.background(255)
+
+colx = "bill_length_mm"
+coly = "bill_depth_mm"
+
+hapi.scatterchart(
+        40,
+        30,
+        500,
+        500,
+        {
+        "data": data,
+            "ticks_y": 12,
+            "ticks_x": 12,
+            "range_y": [min(data[coly]), max(data[coly])],
+            "range_x": [min(data[colx]), max(data[colx])],
+            "show_axes": True,
+            "tick_size": 10,
+            "show_ticks_x": True,
+            "show_ticks_y": True,
+            "x": colx,
+            "y": coly,
+            "plot_background": False,
+            "plot_grid": False,
+            "line_color": 200,
+            "type": "hist",
+            "hist_color": "g"
+        },
+    )
+
+hapi.save_svg(os.path.join(base_path, 'file.svg'))