diff --git a/edvart/report_sections/group_analysis.py b/edvart/report_sections/group_analysis.py
index 7d7a9bb..13a55f6 100644
--- a/edvart/report_sections/group_analysis.py
+++ b/edvart/report_sections/group_analysis.py
@@ -1,6 +1,5 @@
 """Group analysis module."""
 
-import warnings
 from typing import Any, Callable, Dict, List, Optional, Union
 
 import colorlover as cl
@@ -341,7 +340,11 @@ def group_barplot(
         """
         num_cat = df[column].nunique()
         if num_cat > group_count_threshold:
-            warnings.warn(f"Too many categories ({num_cat}), not plotting distribution")
+            display(
+                Markdown(
+                    f"Number of unique values ({num_cat}) greater than threshold, not plotting distribution"
+                )
+            )
             return
 
         pivot = df.pivot_table(index=groupby, columns=column, aggfunc="size", fill_value=0)
@@ -577,7 +580,6 @@ def required_imports(self) -> List[str]:
             "import plotly.graph_objects as go",
             "from edvart.data_types import infer_data_type, DataType",
             "from edvart import utils",
-            "import warnings",
             "from typing import List, Dict, Optional, Callable",
             "from plotly.subplots import make_subplots",
         ]
diff --git a/edvart/report_sections/timeseries_analysis/seasonal_decomposition.py b/edvart/report_sections/timeseries_analysis/seasonal_decomposition.py
index c35de55..c791ebf 100644
--- a/edvart/report_sections/timeseries_analysis/seasonal_decomposition.py
+++ b/edvart/report_sections/timeseries_analysis/seasonal_decomposition.py
@@ -1,6 +1,5 @@
 """Seasonal decomposition package."""
 
-import warnings
 from typing import Any, Dict, List, Optional, Tuple
 
 import matplotlib.pyplot as plt
@@ -91,9 +90,11 @@ def seasonal_decomposition(
         """
         df = df.interpolate(method="time")
         if pd.infer_freq(df.index) is None and period is None:
-            warnings.warn(
-                "Period could not be inferred, please set the period parameter to a suitable value."
-                "Decomposition will not be plotted."
+            display(
+                Markdown(
+                    "Period could not be inferred, please set the period parameter to a suitable value."
+                    " Decomposition will not be plotted."
+                )
             )
             return
         if columns is None:
diff --git a/edvart/report_sections/timeseries_analysis/time_analysis_plot.py b/edvart/report_sections/timeseries_analysis/time_analysis_plot.py
index ea1bc9c..8c77954 100644
--- a/edvart/report_sections/timeseries_analysis/time_analysis_plot.py
+++ b/edvart/report_sections/timeseries_analysis/time_analysis_plot.py
@@ -1,6 +1,5 @@
 """Time analysis interactive plot package."""
 
-import warnings
 from typing import Any, Dict, List, Optional
 
 import nbformat.v4 as nbfv4
@@ -115,8 +114,6 @@ def _time_analysis_colored_plot(df, columns=None, color_col=None):
         layout = dict(xaxis_rangeslider_visible=True)
         if not utils.is_categorical(df[color_col]):
             raise ValueError(f"Cannot color by non-categorical column `{color_col}`")
-        if df[color_col].nunique() > 20:
-            warnings.warn("Coloring by categorical column with many unique values!")
         df_color_shifted = df[color_col].shift(-1)
         for col in columns:
             data = [
@@ -155,7 +152,6 @@ def required_imports(self) -> List[str]:
             ]
         return [
             "from IPython.display import display, Markdown",
-            "import warnings",
             "import plotly",
             "import plotly.graph_objects as go",
             "plotly.offline.init_notebook_mode()",
diff --git a/edvart/report_sections/univariate_analysis.py b/edvart/report_sections/univariate_analysis.py
index d0599d4..dce5ac2 100644
--- a/edvart/report_sections/univariate_analysis.py
+++ b/edvart/report_sections/univariate_analysis.py
@@ -1,5 +1,4 @@
 """Univariate analysis package."""
-import warnings
 from typing import Any, Callable, Dict, List, Optional, Tuple
 
 import matplotlib.pyplot as plt
@@ -174,9 +173,11 @@ def bar_plot(
             Additional kwargs passed to pandas.Series.bar.
         """
         if series.nunique() > plotting_threshold:
-            warnings.warn(
-                f"Number of unique values is greater than {plotting_threshold},"
-                " not plotting bar plot."
+            display(
+                Markdown(
+                    f"Number of unique values is greater than {plotting_threshold},"
+                    " not plotting bar plot."
+                )
             )
         else:
             value_counts = series.value_counts()
@@ -308,7 +309,6 @@ def required_imports(self) -> List[str]:
             "import matplotlib.pyplot as plt",
             "%matplotlib inline",
             "import seaborn as sns",
-            "import warnings",
         ]
 
     def add_cells(self, cells: List[Dict[str, Any]]) -> None: